What can I run on an RTX 4070 SUPER 12GB?

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23 models fit in 12 GB — cheapest rental $0.06/hr.

The GeForce RTX 4070 SUPER has 12 GB of GDDR6X on a 192-bit bus, 7,168 CUDA cores, 568 AI TOPS (NVIDIA's figure), 220 W total graphics power, and a 650 W recommended system power.^[1] The table below checks every language model in our calculator at three quantizations with an 8K-token context, using the same file sizes and fit rule as the rest of the site.

Each cell is the Hugging Face GGUF file size plus FP16 KV cache for an 8K-token context (or the model's maximum, if shorter). Fits = under 90% of 12 GB; Tight = 90 to 100%; Too big = over 12 GB. * = KV cache not included (no config data). Same data as the VRAM calculator and what can I run with 12 GB. Data checked 2026-11-03.

Check one model at your own context length in the VRAM calculator with the RTX 4070 selected (same 12 GB as the SUPER in our calculator).

Same 12 GB ceiling as an RTX 3060 12GB

Memory decides what fits. The 4070 SUPER, the non-SUPER RTX 4070, and the RTX 3060 12GB all have 12 GB, so they fit the same calculator models at the same quants and context. At 4-bit (Q4_K_M) with an 8K FP16 KV cache, that is 23 of 50 models under our 90% headroom rule (live table above). What changes is speed and efficiency. Specs from NVIDIA:^[1][2]

We do not invent a tokens/s number for the 4070 SUPER here — our measured speed page has nearby Ada cards from public llama.cpp scoreboards when you want a ballpark. For a same-VRAM speed story with sourced llama-bench rows, see RTX 5070 12GB vs 3060.

When 12 GB is not enough

• 70B-class models need ~40 GB+ at 4-bit — rent a 48 GB / 80 GB card or pick a smaller model (Llama 3.1 70B cheapest rental).
• gpt-oss-20b is about 11.9 GB at 4-bit with 8K KV in our calculator — it may load, but it is tight on any 12 GB card.
• MoE bigger than VRAM: expert offload to system RAM.

More for 12 GB cards

• RTX 3060 12GB fit table, the same model list for the older card
• RTX 5070 12GB fit table: Blackwell 12 GB with measured speed vs 3060
• Everything that fits in 12 GB, including image generation and gaming
• Best GPUs for local LLMs: 12 GB
• VRAM calculator

Rent a GPU

Cloud marketplaces rarely list "4070 SUPER" as its own SKU. Use the cheapest 12–16 GB offer or step up to 24 GB. Every number below comes from our dated price file, not an estimate:

Honest note: Vast.ai is a host marketplace (quality varies; the verified on-demand filter helps). Runpod Community Cloud is shared capacity; Secure Cloud costs more. Novita AI does not rent GPUs; it runs open models for you by API. Dated side-by-side: Vast.ai vs Runpod. More: GPU cost per hour · AI APIs.

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Every number on this page links to its source.

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